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Shaw, Michael J. Shaw, Michael J. Mahoney, Joseph T. Chandler, John S. Subramanyam, Ramanath Karhade, Prasanna P. 2010-01-06T17:49:21Z 2010-01-06T17:49:21Z 2016-01-15T11:02:07Z 2010-01-06T17:49:21Z This dissertation examines the structural properties of patterns in the decision-making processes used for information technology (IT) portfolio management with an emphasis on two key issues; (1) strategic alignment and (2) the mitigation of risks early-on during planning. Based on the cross sectional analysis of a large portfolio of decisions, I build on the Defender-Prospector-Analyzer typology and the corresponding IT strategies to develop theoretical profiles of decision models in alignment with these archetypes. I theorize key differences in decision models across these three strategic orientations and empirically test hypotheses by analyzing actual decisions for a large portfolio of IT initiatives in a unique, naturally controlled empirical setting. By examining decision-making processes over a two-year consecutive period, I systematically address risk mitigation during IT portfolio planning. I build on the logic of appropriateness, to propose an endogenous explanation for the evolution of these planning routines. Using an organizational routine as the unit of analysis; I propose their characteristics that are likely to explain the generation, deletion, retention and adaptation of these routines over time. I corroborate my hypotheses in a unique empirical setting using a three-stage methodology. This dissertation examines strategic alignment and risk-taking from an inductive perspective. Findings reported in this dissertation, based on minimal assumptions, indicate that a pattern-enabled approach to planning for IT portfolios can potentially alleviate the planning paradox. Decision trees I present offer insights for alignment and have substantial managerial implications for IT governance. Meta-routines presented in this dissertation — based on the evolutionary analysis of routines over a two-year period — give us a visual vocabulary for articulating the anatomy of dynamic capabilities. These findings have substantial implications for improving the maturity of IT portfolio management processes within organizations. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-11-23T19:27:26Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Karhade_Prasanna.doc: 1391104 bytes, checksum: 1b846ac0e07e83e1ef000b34f2fcd34d (MD5) Karhade_Prasanna.pdf: 581434 bytes, checksum: 69402bbece6528906c30eba5a975da5a (MD5) Made available in DSpace on 2010-01-06T17:49:21Z (GMT). No. of bitstreams: 6 Karhade_Prasanna.pdf: 581317 bytes, checksum: 381aa8f87598056d8137bae81e53bfdc (MD5) 1_Karhade_Prasanna.pdf: 581317 bytes, checksum: 381aa8f87598056d8137bae81e53bfdc (MD5) 2_Karhade_Prasanna.pdf: 581434 bytes, checksum: 69402bbece6528906c30eba5a975da5a (MD5) license.txt: 4065 bytes, checksum: 53dd1c789c607b25748b5d3b14db4e2b (MD5) Karhade_Prasanna.doc: 1412608 bytes, checksum: 59127c045ad5d2e9e5f8dc530ddc05c9 (MD5) 3_Karhade_Prasanna.pdf: 581317 bytes, checksum: 381aa8f87598056d8137bae81e53bfdc (MD5) Restriction data tranferred 2014-07-01T11:10:03-05:00 Original Data Group with Access Administrator Release Date: 2016-01-15 16:06:39 UTC Reason: Access closed for six years, per author request. Item marked as restricted to the 'Administrator' Group (id=1) by William Ingram (wingram2@illinois.edu) on 2010-01-06T17:49:46Z Item is restricted until 2012-01-06T17:49:44Z Item marked as restricted to the 'Administrator' Group (id=1) by Sarah Shreeves (sshreeve@illinois.edu) on 2010-04-15T21:06:39Z Item is restricted until 2016-01-15T22:06:39Z Author requested 4 additional years of embargo on ProQuest form. sshreeve@illinois.edu - 4/15/10 Limited Restriction Lifted for Item 14779 on 2016-01-15T11:02:06Z. http://hdl.handle.net/2142/14753 en Copyright 2009 Prasanna Karhade IT Portfolio Management Decision Rules Routines Evolution of Routines Decision Trees Induction Patterns in information technology portfolio decision making: an inductive approach 2009-12 Business Administration 1902 Business Administration 0079 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Business Administrtn -UIUC 10KS0079PHD